نشریه مطالعات مدیریت شهری
پیاپی 57 (بهار 1403)

In our country, where the young generation of athletes constitutes a high percentage of the population, environmental education can have a significant effect on strengthening environmental culture and achieving sustainable development goals. The purpose of the present study is to provide a model of the effectiveness of environmental and health teachings on the citizenship behavior of athletes in Semnan province. This research is of applied type in terms of outputs and descriptive-analytical in terms of data review method. The statistical research community of athletes in Semnan Province is the pilot of the research. The research tool was a researcher-made questionnaire, whose validity and reliability have been accepted. Structural equation modeling was used to design the model. The results showed that the teachings of environmental and health teachings on the citizenship behavior of athletes is effective and the model has sufficient and favorable fit. Therefore, despite the existence of awareness and a relatively appropriate attitude towards the environment, the majority of people have performed poorly in terms of environmental behavior. Therefore, having environmental awareness cannot be a guarantee for environmental behavior, but in the meantime, there is a need for conditions and social structure that encourage and facilitate environmental behavior.

Technology evolves rapidly; But changes in social institutions are slow and the result of this is creating a gap between the systems of the society. Khorramabad city, which has major urban issues in sectors such as transportation, urban environment and urban services. The aim of the research was to investigate the impact of the role of information technology in regional development in Lorestan province. The purpose of the research method is practical and descriptive-analytical and survey in nature, and the data was collected by documentary and field method (questionnaire). The statistical population of the research was 384 citizens and 20 specialists, urban affairs experts and university professors related to the subject, who were selected by simple random sampling. In order to determine the validity, the questionnaire was given to professors and experts, and some items were modified with their opinion and its content validity was confirmed. The reliability of the research tool (questionnaire) was evaluated with SPSS software and Cronbach's alpha test was equal to 0.886; This value is suitable for research tools. Data analysis was done using AHP hierarchical process. Based on the method of analysis, infrastructure, access, socio-cultural and economic dimensions are examined and analyzed.

The purpose of this research is to prioritize the factors and components affecting the use of green architecture in the sports structure of Iran. The type of research is descriptive which was done through a survey. The statistical sample was 185 people and included expert experts in architecture, energy and management of sports venues and spaces. The data collection tool was a standard questionnaire designed based on the green building certification (LEED, 2016). The method of scoring this tool was based on a five-point Likert scale. In order to analyze statistical data, inferential statistics methods were used. Confirmatory factor analysis using Lisrel software was used to check the construct validity of the measuring instrument, and Friedman's ranking test was used to prioritize the research items with the help of SPSS software. It showed that a total of 7 components and 23 items are considered as effective factors. From the point of view of the experts, the component "optimal technology" with a factor of (0.915) has the most importance, and the component "analysis and site selection" with a factor of (0.707) has the least importance in terms of factors affecting green architecture in Iran's sports structure. They assigned themselves. Since the adjusted goodness of fit index was 0.9, as a result, the overall fit is also confirmed.

Providing housing in the form of neighborhood-oriented, citizen-oriented, law-oriented planning is more important than ever before. On a macro scale, the planning and management of micro-urban units will have better and more tangible and far more presentable and understandable results in improving the quality of life of the citizens of Arak. The aim of the research was to investigate the supply of urban housing in the form of neighborhood-oriented planning in Arak city. The research method is descriptive-analytical and the data is collected by documentary and field method (questionnaire). The statistical population of the research was 384 citizens and 10 specialists, urban affairs experts and university professors related to the subject, who were selected by simple random sampling. In order to determine the validity, the questionnaire was given to professors and experts, and some items were modified with their opinion and its content validity was confirmed. The reliability of the research tool (questionnaire) was evaluated with SPSS software and the Cronbach's alpha test was equal to 0.896. This value is suitable for research tools. Data analysis was done using the factor analysis process. Based on the method of analysis, physical-infrastructural dimensions with coefficient, transportation system, safe housing, environmental, management, local community, identification and location and access respectively, (28/95), (6/16), (7.34), (5.29), (6.83), (6.83), (5.14) and (5.93) percent of the variance explained.

Currently, the world is continuously growing and developing due to the increase in population and diverse human needs, and its speed is increasing day by day. Therefore, humans always change and transform their surroundings and try to choose the best places for their lives. The purpose of the current research is to analyze and investigate the geomorphological limitations of the physical development of Mahabad city and its optimal location in the future development. For this reason, 1:100000 geological maps, layers of elevation, slope, direction of slope, geology, land use, flood, erosion, fault, satellite images and by processing and providing these parameters in ARC GIS software, editing and digitization have been done on them. Is. Finally, by using fuzzy and hierarchical logic models, land zoning has been done for the physical development of Mahabad city. The results showed that the formation of this city in its current position was not based on geomorphological studies, but due to the existence of fertile plains and plains, which are among the oldest human settlements. The most suitable direction for the physical development and expansion of Mahabad city is towards the north and towards Mahabad Jalga (ruined city). According to the zoning map, about 12.5% ​​in fuzzy multiplication and about 29.1% in fuzzy addition are part of the appropriate area.

BOT projects for the construction of suburban pedestrian bridges are very important as one of the appropriate methods for transportation infrastructure development in cities. Considering the economic and financial effects on these projects, it is vital to know and analyze the factors affecting the pricing of these projects. The purpose of this article is to identify and rank the factors affecting the pricing of BOT projects for the construction of suburban pedestrian bridges.

The research approach is quantitative and practical. The statistical population includes the managers and experts of the Road Maintenance & Transportation Organization and university professors specializing in this field. Fuzzy Delphi method was used to identify factors and BWM was used to prioritize them.

By reviewing the literature, 40 factors were extracted from previous studies, and based on the fuzzy Delphi results, after three rounds of expert opinion polls, 31 factors affecting the pricing of BOT projects for the construction of suburban pedestrian bridges were identified and classified into five groups, then using BWM are rated in overall and their group.

The overall ranking showed that the most important factors are the costs of pedestrian bridge construction, maintenance and operation, and equipment and personnel. The ranking in groups also showed that the main factors were ranked as the factors related to costs, contract setting, project, government, and the private sector. These results can help decision makers in this field to make the best decisions in the pricing process of similar projects.

A strong organizational culture can be recognized as a primary factor in fostering collaboration and participation among employees. The aim of this article is to examine the status of organizational culture using a participatory culture strategy approach at the Tehran Urban Studies and Planning Center. 

This study is considered applied-developmental research, based on quantitative data collection through questionnaires. The statistical population consists of managers and employees of the Tehran Urban Studies and Planning Center, totaling 155 individuals. The sample size was determined to be 110 individuals using Cochran's formula. 

After ensuring the adequacy of model fit, the structural equation model was confirmed based on the research pattern and recent changes in confirmatory factor analysis. Since the model fit was good, there was no need to remove indicators from the model or draw covariance between errors. 

: Based on the results of structural equations, the path coefficient from internal environment to main phenomenon is 0.87, from external environment to main phenomenon is 0.59, from external environment to moderating factors is 0.61, from main phenomenon to moderating factors is 0.68, from institutional requirements to moderating factors is 0.79, and from moderating factors to outcomes is 0.69.

Urban systems include many closely related components that have become more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Transforming these data into knowledge to facilitate planning efforts in addressing the current challenges of complex urban systems requires advanced interdisciplinary analysis methods, such as urban informatics or urban data science. However, by applying a purely data-driven approach, it is very easy to get lost in the "forest" of data, and miss the "tree" of successful and livable cities that are the ultimate goal of city planning. This paper describes how geospatial data from urban analysis, using hybrid methods, can contribute to a better understanding of urban dynamics and human behavior, and how it can enhance planning efforts to improve livability. Based on a review of the latest research, this paper goes a step further and also addresses the potential as well as the limitations of new data sources in urban analytics to get a better overview of the entire "jungle" of these new data sources. The present work is a qualitative review based on research conducted with analytical methods about the reliability of using big data from social media platforms or sensors, and how to extract information from massive amounts of data through new analytical methods, such as learning. The machine is for more informed decision-making with the aim of improving urban livability. The purpose of this article is to review some of the synergies and challenges of the interdisciplinary approach (dissection and urban analysis based on GIS in improving the livability of cities, by examining the key findings and questions obtained from the advanced literature).